polmineR (version 0.8.8)

count_class: Count class.

Description

S4 class to organize counts. The classes polmineR and ngrams inherit from the class.

Usage

# S4 method for count
summary(object)
# S4 method for count
length(x)
# S4 method for count
hist(x, ...)

Arguments

object

A count object.

x

A count object, or a class inheriting from count.

...

Further parameters.

Slots

stat

Object of class data.table.

corpus

Object of class character the CWB corpus the partition is based on .

encoding

Object of class character, the encoding of the corpus.

name

Object of class character, a name for the object.

size

Object of class integer, the size of the partition or corpus the count is based upon.

Author

Andreas Blaette

Details

The summary-method in combination with a weighed count-object can be used to perform a dictionary-based sentiment analysis (see examples).

The length-method is synonymous with the size-method and will return the size of the corpus or partition a count has been derived from.

See Also

The count-class inherits from the textstat-class.

Examples

# sample for dictionary-based sentiment analysis
weights <- data.table::data.table(
  word = c("gut", "super", "herrlich", "schlecht", "grob", "mies"),
  weight = c(1,1,1,-1,-1,-1)
)
corp <- corpus("GERMAPARLMINI")
sc <- subset(corp, date == "2009-11-11")
cnt <- count(sc, p_attribute = "word")
cnt <- weigh(cnt, with = weights)
y <- summary(cnt)

# old, partition-based workflow
p <- partition("GERMAPARLMINI", date = "2009-11-11")
p <- enrich(p, p_attribute = "word")
weights <- data.table::data.table(
  word = c("gut", "super", "herrlich", "schlecht", "grob", "mies"),
  weight = c(1,1,1,-1,-1,-1)
)
p <- weigh(p, with = weights)
summary(p)